DocumentCode :
2958818
Title :
Evaluation of image features using a photorealistic virtual world
Author :
Kaneva, Biliana ; Torralba, Antonio ; Freeman, William T.
Author_Institution :
Comput. Sci. & Artificial Intell. Lab., MIT, Cambridge, MA, USA
fYear :
2011
fDate :
6-13 Nov. 2011
Firstpage :
2282
Lastpage :
2289
Abstract :
Image features are widely used in computer vision applications. They need to be robust to scene changes and image transformations. Designing and comparing feature descriptors requires the ability to evaluate their performance with respect to those transformations. We want to know how robust the descriptors are to changes in the lighting, scene, or viewing conditions. For this, we need ground truth data of different scenes viewed under different camera or lighting conditions in a controlled way. Such data is very difficult to gather in a real-world setting. We propose using a photorealistic virtual world to gain complete and repeatable control of the environment in order to evaluate image features. We calibrate our virtual world evaluations by comparing against feature rankings made from photographic data of the same subject matter (the Statue of Liberty). We find very similar feature rankings between the two datasets. We then use our virtual world to study the effects on descriptor performance of controlled changes in viewpoint and illumination. We also study the effect of augmenting the descriptors with depth information to improve performance.
Keywords :
image processing; lighting; rendering (computer graphics); 3ds Maxs Mental Ray renderer; computer vision; depth information; descriptor augmentation; feature ranking; illumination; image feature evaluation; photorealistic virtual world; viewpoint; Robustness; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision (ICCV), 2011 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1550-5499
Print_ISBN :
978-1-4577-1101-5
Type :
conf
DOI :
10.1109/ICCV.2011.6126508
Filename :
6126508
Link To Document :
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